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Functional Metagenomics as a Tool for Identification of New Antibiotic Resistance Genes from Natural Environments

Overview of attention for article published in Microbial Ecology, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
3 policy sources
twitter
2 X users

Citations

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37 Dimensions

Readers on

mendeley
198 Mendeley
Title
Functional Metagenomics as a Tool for Identification of New Antibiotic Resistance Genes from Natural Environments
Published in
Microbial Ecology, October 2016
DOI 10.1007/s00248-016-0866-x
Pubmed ID
Authors

Débora Farage Knupp dos Santos, Paula Istvan, Betania Ferraz Quirino, Ricardo Henrique Kruger

Abstract

Antibiotic resistance has become a major concern for human and animal health, as therapeutic alternatives to treat multidrug-resistant microorganisms are rapidly dwindling. The problem is compounded by low investment in antibiotic research and lack of new effective antimicrobial drugs on the market. Exploring environmental antibiotic resistance genes (ARGs) will help us to better understand bacterial resistance mechanisms, which may be the key to identifying new drug targets. Because most environment-associated microorganisms are not yet cultivable, culture-independent techniques are essential to determine which organisms are present in a given environmental sample and allow the assessment and utilization of the genetic wealth they represent. Metagenomics represents a powerful tool to achieve these goals using sequence-based and functional-based approaches. Functional metagenomic approaches are particularly well suited to the identification new ARGs from natural environments because, unlike sequence-based approaches, they do not require previous knowledge of these genes. This review discusses functional metagenomics-based ARG research and describes new possibilities for surveying the resistome in environmental samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Switzerland 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Unknown 192 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 21%
Student > Master 27 14%
Student > Bachelor 26 13%
Researcher 23 12%
Student > Doctoral Student 12 6%
Other 30 15%
Unknown 38 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 21%
Biochemistry, Genetics and Molecular Biology 36 18%
Environmental Science 18 9%
Immunology and Microbiology 13 7%
Engineering 7 4%
Other 26 13%
Unknown 56 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2020.
All research outputs
#2,953,526
of 22,890,496 outputs
Outputs from Microbial Ecology
#240
of 2,060 outputs
Outputs of similar age
#52,382
of 319,503 outputs
Outputs of similar age from Microbial Ecology
#12
of 48 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,060 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.